Adversarially Robust Learning with Uncertain Perturbation Sets
No confident code implementation found for this paper. 4 possible matches can be shown below.
No confident code implementation found for this paper. 4 possible matches can be shown below.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 4 weaker matches are hidden by default — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
Learning Imbalanced Data with Beneficial Label Noise
Counting Graph Substructures with Graph Neural Networks
Personalized Federated Learning with Inferred Collaboration Graphs
Controllable Data Generation with Hierarchical Neural Representations
Modelling Microbial Communities with Graph Neural Networks
Disentangling Cognitive Diagnosis with Limited Exercise Labels
@article{lechner2026adversarially,
title = {Adversarially Robust Learning with Uncertain Perturbation Sets},
author = {Tosca Lechner and Vinayak Pathak and Ruth Urner},
year = {2026},
doi = {10.52202/075280-0229},
url = {https://doi.org/10.52202/075280-0229},
journal = {NEURIPS 2023 2023}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/582497a1548549c00ed16f44c7dd5466eeba5de9)